Document AI
Architecture
Documents are uploaded to a secure cloud bucket. An OCR engine reads the text, and an LLM extracts specific fields (Invoice #, Tax, Line Items) into a JSON format that a computer can read.
Tools
OCR/Extraction: AWS Textract or Google Document AI.
Processing: Documind or Rossum.ai.
Automation: AirTable (as the "Human in the loop" review station) + Make.com.
AI for Differentiation
Architecture
A custom "Knowledge Base" containing all product specs and expert advice is stored in a Vector Database. The AI "Consultant" queries this database to provide answers that are grounded in the brand’s specific expertise.
Tools
Vector Database: Pinecone or Weaviate.
Deployment: Vercel AI SDK or Voiceflow (for high-end web chat interfaces).
Search: Algolia AI Search.
AI for Creatives
Architecture
Training a LoRA (Low-Rank Adaptation) on the brand’s specific product/style so the AI doesn't hallucinate features. This is followed by an automated upscaling process for print-ready quality.
Tools
Image Generation: Midjourney (v6) or Leonardo.ai (for brand-consistency tools).
Video: Runway Gen-3 or HeyGen (for AI-driven video/avatars).
Editing: Adobe Firefly (Generative Fill).
Automated Agentic Solutions
Architecture
A "Supervisor" agent receives a user request, determines which "Tool" to use (e.g., Calendar Tool, Database Tool), executes the action, and verifies the result before replying to the human.
Tools
Framework: LangChain or CrewAI (for managing agent handoffs).
Platform: MindStudio or Relevance AI (for no-code/low-code agent building).
Integration: Zapier Central or Make.com.
AI for Sales and Marketing
Architecture
A trigger (e.g., a new lead in HubSpot) prompts an AI agent to search Google News and LinkedIn for the prospect. The AI finds a "hook," drafts a personalized intro, and pushes it to an email sequencer.
Tools
Data Enrichment: Clay (the gold standard for this specific workflow) or Apollo.io.
AI Writing: Jasper or Copy.ai via API.
Execution: Instantly.ai or Lemlist.
AI For Research
Architecture
A web-scraping layer feeds unstructured text into a Large Language Model (LLM) for thematic clustering. A dashboard then visualizes "Sentiment Score vs. Mention Volume."
Tools
Data Sourcing: Apify or Bright Data (for scraping Amazon/Reddit).
Analysis: OpenAI GPT-4o or Claude 3.5 Sonnet (for synthesis).
Visualisation: Polymer Search or Browse AI.